Intelligent Wildlife Tracking Using Ubiquitous Technological Suite

Mayur Sunil Jawalkar, Nayan Desale, Fanil Suratwala, Amol Lamkhade, Parikshit N. Mahalle and Poonam N. Railkar
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Mayur Sunil Jawalkar: Department of Computer Engineering, Savitribai Phule Pune University, Maharashtra, India
Nayan Desale: Department of Computer Engineering, Savitribai Phule Pune University, Maharashtra, India
Fanil Suratwala: Department of Computer Engineering, Savitribai Phule Pune University, Maharashtra, India
Amol Lamkhade: Department of Computer Engineering, Savitribai Phule Pune University, Maharashtra, India
Parikshit N. Mahalle: Department of Computer Engineering, Savitribai Phule Pune University, Maharashtra, India
Poonam N. Railkar: Department of Computer Engineering, Savitribai Phule Pune University, Maharashtra, India

International Journal of Synthetic Emotions (IJSE), 2017, vol. 8, issue 1, 44-59

Abstract: This paper proposes an intelligent system to track location of an individual animal or animals in wildlife sanctuary. Existing systems makes use of various technologies such as RFID, GPS, GSM, etc. RFID based systems either lack in range if passive tags are used or lack in cost effectiveness if active tags are used. Similarly, GSM based system becomes costlier and requires constant network connectivity. Hence this paper proposes a Wi-Fi based tracking system. Proposed system makes use of ubiquitous technology which encourages the use of Wi-Fi Transceivers. The Stationary Wi-Fi Transceiver consists of ESP8266 NodeMCU development board which detects the Mobile Transceiver. The Mobile Transceiver consists of ESP8266 NodeMCU attached to animals. The Stationary Wi-Fi transceiver detects Mobile Transceivers under its vicinity and sends the data to other Stationary transceiver through hop based transmission and ultimately the data is stored in the database. The mobile application accesses the location information from the database for particular animal and plots it onto the Map. This paper comprises of system architecture, proposed algorithm and mathematical model.

Date: 2017
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